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Preface to Memoir 49: Prediction of Reservoir Quality through Chemical Modeling

AAPG Special Volumes

...Preface to Memoir 49: Prediction of Reservoir Quality through Chemical Modeling 1990 III IV M 49: Prediction of Reservoir Quality through Chemical...

1990

Introduction

Friedemann Baur, Allegra Hosford Scheirer, and Kenneth E. Peters

AAPG Bulletin

..., introduced the main themes focusing on pore pressure prediction and rock properties, future directions for BPSM and new technologies/workflows...

2018

High Resolution Pore Pressure Prediction Using AVO Inversion

Yongyi Li

Search and Discovery.com

...High Resolution Pore Pressure Prediction Using AVO Inversion Yongyi Li High Resolution Pore Pressure Prediction Using AVO Inversion Yongyi Li...

Unknown

High Resolution Pore Pressure Prediction Using AVO Inversion

Yongyi Li

Search and Discovery.com

...High Resolution Pore Pressure Prediction Using AVO Inversion Yongyi Li High Resolution Pore Pressure Prediction Using AVO Inversion Yongyi Li...

Unknown

Foresee the Unforeseen: Modeling West Baram Delta Overpressure, Offshore Sarawak, #41109 (2012)

Chyril Anwwar Ibrahim, Linibid Light, Jeremy Ngu-Chee Kong, James Mennie

Search and Discovery.com

.... Prediction of this overpressure mechanism was difficult due to limited expression of seismic velocities and log responses. The development...

2012

Enhanced Reservoir Characterization and Permeability Prediction of Heterogeneous Carbonate Reservoirs from Sonic Velocity and Digital Image Analysis; #50689 (2012)

John E. Thornton and G. Michael Grammer

Search and Discovery.com

...Enhanced Reservoir Characterization and Permeability Prediction of Heterogeneous Carbonate Reservoirs from Sonic Velocity and Digital Image Analysis...

2012

Prediction of Carbonate Reservoirs Pore Pressure and Porosity in Onshore Abu Dhabi Using Petroleum Systems Modeling Technology; #41812 (2016)

Oluwaseun A. Fadipe, Radzieman Mohamad, Andy MacGregor, Aziza Bouhlel, Abdelwahab Noufal, Manhal Sirat, D. Popa

Search and Discovery.com

...Prediction of Carbonate Reservoirs Pore Pressure and Porosity in Onshore Abu Dhabi Using Petroleum Systems Modeling Technology; #41812 (2016...

2016

Value of Information (VOI) Concept to Systematically Justify Observation and Appraisal Wells; #42531 (2020)

Iwan Setya Budi, Epo Kusumah, Astra Pramana, Jati Arie Wibowo, Agus Rudiyono

Search and Discovery.com

... presentation given at 2019 AAPG Asia Pacific Technical Symposium, The Art of Hydrocarbon Prediction: Managing Uncertainties, August 7-8, 2019, Bogor...

2020

Integrated Multi-Data Fusion Approach for Discrete Fracture Network Modeling in Deep Carbonate Reservoir; #42613 (2026)

Hui Li

Search and Discovery.com

... prediction. The modelling results indicate that fracture development is influenced by the interaction of fault periods, distance from faults and matrix...

2026

Whats the problem with CSEM?

Antony Price

International Meeting for Applied Geoscience and Energy (IMAGE)

... it’s the kind of reaction one might expect to the hawking of ‘Snake Oil’ or miracle cures. Admittedly, the claimed successful prediction rates are high...

2022

Efficient interdisciplinary workflow for predrill seismic pore pressure prediction

Josue Fonseca, Anshuman Pradhan, Tapan Mukerji

International Meeting for Applied Geoscience and Energy (IMAGE)

...Efficient interdisciplinary workflow for predrill seismic pore pressure prediction Josue Fonseca, Anshuman Pradhan, Tapan Mukerji Efficient...

2022

Insights using machine learning in predicting faults and horizons: A case study onshore Texas

Dan Ferdinand Fernandez, Mustafa Karer, Richard Hearn, Ryan King, Sunil Manikani, Gavin Menzel-Jones

International Meeting for Applied Geoscience and Energy (IMAGE)

... for evaluation and determination of the migration and accumulation of hydrocarbons in the area. Figure 1 (A-F): Shows ML-assisted horizon prediction...

2022

Improving Prediction of Total Organic Carbon in Prospective Australian Basins by Employing Machine Learning

Irina Emelyanova, Marina Pervukhina, M. Ben Clennell, David N. Dewhurst

Petroleum Exploration Society of Australia (PESA)

...Improving Prediction of Total Organic Carbon in Prospective Australian Basins by Employing Machine Learning Irina Emelyanova, Marina Pervukhina, M...

2016

Thickness Prediction of Tectonically Deformed Coal Using Calibrated Seismic Attributes: A Case Study

Tongjun Chen, Xin Wang

Petroleum Exploration Society of Australia (PESA)

...Thickness Prediction of Tectonically Deformed Coal Using Calibrated Seismic Attributes: A Case Study Tongjun Chen, Xin Wang Thickness prediction...

2016

Regionally Interpolated Pore Pressure Model Utilizing Multiple Empirical Methods in the Delaware Basin

Yamin Li, Jon Roberts

Unconventional Resources Technology Conference (URTEC)

... like mud weight (MW), and multiple empirical log based pore pressure prediction methods into one 3D model of the basin. For log based pore prediction...

2020

EXTENDED ABSTRACT: Geological Perception of Pore and Fracture Prediction: Case Histories from the Gulf of Mexico

Shaker, Selim S.

GCAGS Transactions

...EXTENDED ABSTRACT: Geological Perception of Pore and Fracture Prediction: Case Histories from the Gulf of Mexico Shaker, Selim S. 2004 Volume...

2004

Pore Pressure Prediction in Organic Shales of the Permian Basin: Rock Physics Basis

Prajnajyoti Mazumdar, Lev Vernik, Alex Dale

Unconventional Resources Technology Conference (URTEC)

...Pore Pressure Prediction in Organic Shales of the Permian Basin: Rock Physics Basis Prajnajyoti Mazumdar, Lev Vernik, Alex Dale URTeC: 4235583 Pore...

2025

Handil Deep Zone Geomodel: Holistic Approach to Optimize Wells Location and Minimize the Risk for the Future Development in a Mature, Multi Layer and Highly Compartment Reservoirs

Rachman Phasadaon, Gany Gunawan, Hudan W. Alam, Iswahyuni F. Hayati, Sinto Yudho

Indonesian Petroleum Association

... is crucial. Introducing a method to estimate pressure distribution as a function of distance active producer is one of the key elements in HDZ...

2017

Accelerating Well Construction Using a Digital Twin Demonstrated on Unconventional Well Data in North America

Gurtej S. Saini, Pradeepkumar Ashok, Eric van Oort, Matthew R. Isbell

Unconventional Resources Technology Conference (URTEC)

.... Subsequently, as drilling gets underway, the prediction gets updated with new data. This update is performed by using a dynamic weighting scheme...

2018

Machine learning applications for frac-hit identification: A field data use case

Xiongjun Wu, Guoxiang Liu, Vyacheslav Romanov

International Meeting for Applied Geoscience and Energy (IMAGE)

... distance based on drilling survey, fracking period (0 for no fracking day and 1 for fracking day), and the remaining twelve parameters...

2022

Working Under Pressure

Paul Wood

GEO ExPro Magazine

... of 2011, with a further four associate technical staff in Lagos working on Nigerian projects. Pressure Prediction Workflow In 2003, GeoPressure...

2012

The Use of Seismic Data in Predicting the Abnormal High Pressure Zone for Exploration Drilling in Pertamina Unit E.P. III Working Area

Basuki Puspoputro

Indonesian Petroleum Association

... is the prediction of the formation pressure which, in a certain degree, will lead to the mud weight and casing design. A normal formation pressure...

1983

Pressure Prediction in Exhumed Basins

A. Edwards, J. Heller, S. Clancy, N. Whitfield, S. O'Connor

GEO ExPro Magazine

...Pressure Prediction in Exhumed Basins A. Edwards, J. Heller, S. Clancy, N. Whitfield, S. O'Connor GeoExPro Vol. 10, No. 6, December 2013 Copyright...

2013

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